Using Student Achievement Data to Support Instructional Decision Making

transcript

Using Student Achievement Data to Support Instructional Decision

Making

Trainer of Trainers ModuleMontana Office of Public Instruction

Group Norms

Listening: SLANTCell phone reminder

ConversationsBreaks

Bathroom location

Activity

• Think about an adjective that describes you that begins with the same letter your first name begins with

• Share with the group one at a time around the room

OutcomesParticipants will be able to:

*Understand how to collect data from various sources

*Models for reviewing data*Key problem solving steps

Teams will be able to:

*Discuss their school-wide data

*Understand role of leadership team in the data-based decision making process

RtI Essential Components

1. Evidence-based curriculum2. On-going assessment3. Collaborative teaming4. Data-based decision making5. Fidelity of implementation6. Ongoing training and professional development7. Community and family involvement8. Strong leadership

Media Overview: Transforming Teaching and Learning Through the

Effective Use of Data

Recommended Practice: Make data a part of an ongoing cycle of instructional improvement

Key Concepts

• Collect and prepare a variety of data about student learning

• Interpret data and develop hypotheses about how to improve student learning

• Modify instruction to test hypotheses and increase student learning

LEARN:

• View Expert Interview– Prepare, Inquire, Act

• Elizabeth A. City, Ed.D.Harvard Graduate School of Education

LEARN: View Expert Interview• Dr. Elizabeth City• What do you see in the data?

Examining DataDeveloping QuestionsNoting AnswersAsking New QuestionsActionable Steps

Generating questions• Examine assessment data and explain how you

would interpret the data. • What questions arise from data analysis (e.g., why

are students having difficulty writing constructed responses on the benchmark assessment?).

• Use the five “why” questions discussed in the interview video to develop an actionable response.

• Generate questions until you arrive at an actionable question.

Generate Hypothesis/Instructional Changes

• Generate hypotheses that might explain the data and possible instructional changes to address the hypotheses.

Testing Our Hypotheses

• What forms of data can you use to test your hypotheses?

• Which student assignments or assessments will you use and why?

SEE: Watch Supporting Use of Data During Teacher Collaboration Time video

SEE: Listen to Intervening Early Using Data From Multiple Assessments

Components of a Comprehensive Assessment System

Components:• Outcome

• Screening

• Diagnostic

• Progress Monitoring

• Informal

Assessment in the Montana RtI Framework

• Examine the Montana RtI Assessment framework

• Jigsaw Activity – Read your section of the document– Key Question: What are the key characteristics of

each component within the framework?

Recommended Practice: Establish a clear vision for schoolwide data use

Key Concepts

• Establish a school wide data team that sets the tone for ongoing data use

• Define critical teaching and learning concepts

• Develop a written plan that articulates activities, roles, and responsibilities

• Provide ongoing data leadership

Recommended Practice: Establish a clear vision for school wide data use

• Expert Interview: Collaborative Structures for Data Use

Small Group Discussion

What portions of establishing a clear vision are in place in your school?

• Listen to Earning Trust audio

Whole Group Discussion

1. Why is it important to have trust, not only between the principal and teachers but also among teachers for instructional decision-making?2. Why must teachers be able to communicate openly and work harmoniously in order to accomplish the school’s goals?3. Why do teachers need to understand the reasons behind a principal’s push for results?4. What is the best way for the administrative team and other teachers to support a teacher whose students are struggling?5. How might establishing a culture of trust at your school affect the use of data to support instructional decision-making process?

• Watch Carrying Out the Vision video

Inside/Outside Circle

Next Steps for our school…

Recommended Practice: Provide support that foster a data driven culture within the school

Key Concepts

• Designate a school-based facilitator who meets and collaborates with teacher teams in discussing data and solving problems

• Dedicate structured time for staff collaboration

• Provide targeted professional development regularly

Recommendation: Provide supports that foster data-driven culture within the school

Multi media overview: Fostering a Data-Driven Culture Within a School

Providing support for teachers

• Review Providing Support for Teacher Leaders

Jennifer Henderson

• Jigsaw-Activity

View: Supporting a Culture of Data Use

View Audio: Visualizing Data in the Progress Pad

Comprehensive Planning Tool

Time to think about our future work…

Examining Professional Development Needs

• PROFESSIONAL DEVELOPMENT ASSESSMENT TOOL

Your assignment for next time…

• Look at your benchmarking data• % at benchmark

Resources• Doing What Works: http://dww.ed.gov/– http://dww.ed.gov/do/?T_ID=30&P_ID=79&t=2#tc

• Montana Office of Public Instruction– http://opi.mt.gov/pub/RTI/EssentialComponents/A

_P/Reading/RTITools/ASSESSMENTS%20IN%20THE%20RTI%20FRAMEWORK.pdf

– http://opi.mt.gov/pub/RTI/EssentialComponents/DBD/Present/Databased%20Decision%20Making%20and%20Problem%20Solving.pdf

Using Student Achievement Data to Support Instructional Decision Making

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